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Identification of Tumor Antigens in Ovarian Cancers Using Local and Circulating Tumor-Specific Antibodies
Ovarian cancers include several disease subtypes and patients often present with advanced metastatic disease and a poor prognosis. New biomarkers for early diagnosis and targeted therapy are, therefore, urgently required. This study uses antibodies produced locally in tumor-draining lymph nodes (ASC...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538754/ https://www.ncbi.nlm.nih.gov/pubmed/34681879 http://dx.doi.org/10.3390/ijms222011220 |
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author | Da Gama Duarte, Jessica Quigley, Luke T. Young, Anna Rachel Hayashi, Masaru Miyazawa, Mariko Lopata, Alex Mancuso, Nunzio Mikami, Mikio Behren, Andreas Meeusen, Els |
author_facet | Da Gama Duarte, Jessica Quigley, Luke T. Young, Anna Rachel Hayashi, Masaru Miyazawa, Mariko Lopata, Alex Mancuso, Nunzio Mikami, Mikio Behren, Andreas Meeusen, Els |
author_sort | Da Gama Duarte, Jessica |
collection | PubMed |
description | Ovarian cancers include several disease subtypes and patients often present with advanced metastatic disease and a poor prognosis. New biomarkers for early diagnosis and targeted therapy are, therefore, urgently required. This study uses antibodies produced locally in tumor-draining lymph nodes (ASC probes) of individual ovarian cancer patients to screen two separate protein microarray platforms and identify cognate tumor antigens. The resulting antigen profiles were unique for each individual cancer patient and were used to generate a 50-antigen custom microarray. Serum from a separate cohort of ovarian cancer patients encompassing four disease subtypes was screened on the custom array and we identified 28.8% of all ovarian cancers, with a higher sensitivity for mucinous (50.0%) and serous (40.0%) subtypes. Combining local and circulating antibodies with high-density protein microarrays can identify novel, patient-specific tumor-associated antigens that may have diagnostic, prognostic or therapeutic uses in ovarian cancer. |
format | Online Article Text |
id | pubmed-8538754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85387542021-10-24 Identification of Tumor Antigens in Ovarian Cancers Using Local and Circulating Tumor-Specific Antibodies Da Gama Duarte, Jessica Quigley, Luke T. Young, Anna Rachel Hayashi, Masaru Miyazawa, Mariko Lopata, Alex Mancuso, Nunzio Mikami, Mikio Behren, Andreas Meeusen, Els Int J Mol Sci Article Ovarian cancers include several disease subtypes and patients often present with advanced metastatic disease and a poor prognosis. New biomarkers for early diagnosis and targeted therapy are, therefore, urgently required. This study uses antibodies produced locally in tumor-draining lymph nodes (ASC probes) of individual ovarian cancer patients to screen two separate protein microarray platforms and identify cognate tumor antigens. The resulting antigen profiles were unique for each individual cancer patient and were used to generate a 50-antigen custom microarray. Serum from a separate cohort of ovarian cancer patients encompassing four disease subtypes was screened on the custom array and we identified 28.8% of all ovarian cancers, with a higher sensitivity for mucinous (50.0%) and serous (40.0%) subtypes. Combining local and circulating antibodies with high-density protein microarrays can identify novel, patient-specific tumor-associated antigens that may have diagnostic, prognostic or therapeutic uses in ovarian cancer. MDPI 2021-10-18 /pmc/articles/PMC8538754/ /pubmed/34681879 http://dx.doi.org/10.3390/ijms222011220 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Da Gama Duarte, Jessica Quigley, Luke T. Young, Anna Rachel Hayashi, Masaru Miyazawa, Mariko Lopata, Alex Mancuso, Nunzio Mikami, Mikio Behren, Andreas Meeusen, Els Identification of Tumor Antigens in Ovarian Cancers Using Local and Circulating Tumor-Specific Antibodies |
title | Identification of Tumor Antigens in Ovarian Cancers Using Local and Circulating Tumor-Specific Antibodies |
title_full | Identification of Tumor Antigens in Ovarian Cancers Using Local and Circulating Tumor-Specific Antibodies |
title_fullStr | Identification of Tumor Antigens in Ovarian Cancers Using Local and Circulating Tumor-Specific Antibodies |
title_full_unstemmed | Identification of Tumor Antigens in Ovarian Cancers Using Local and Circulating Tumor-Specific Antibodies |
title_short | Identification of Tumor Antigens in Ovarian Cancers Using Local and Circulating Tumor-Specific Antibodies |
title_sort | identification of tumor antigens in ovarian cancers using local and circulating tumor-specific antibodies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538754/ https://www.ncbi.nlm.nih.gov/pubmed/34681879 http://dx.doi.org/10.3390/ijms222011220 |
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